Data Engineering and Machine Learning Trainee
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As a Data Engineering and Machine Learning Trainee, I worked on optimizing data pipelines and developing machine learning models for business applications. I focused on using Databricks to automate and improve ETL processes, supporting decision-making through data-driven solutions. My role required proficiency in Python, R, and various data engineering tools and methodologies. • Structured and optimized large-scale ETL pipelines in Databricks.
• Automated data workflows and conducted exploratory data analyses to support decision-making.
• Developed and validated statistical and machine learning models.
• Applied large language models (LLMs) and prompt engineering techniques in real-world use cases.
As a Data Engineering and Machine Learning Trainee, I worked on optimizing data pipelines and developing machine learning models for business applications. I focused on using Databricks to automate and improve ETL processes, supporting decision-making through data-driven solutions. My role required proficiency in Python, R, and various data engineering tools and methodologies. • Structured and optimized large-scale ETL pipelines in Databricks. • Automated data workflows and conducted exploratory data analyses to support decision-making. • Developed and validated statistical and machine learning models. • Applied large language models (LLMs) and prompt engineering techniques in real-world use cases.
2025 - Present